Personality, User Preferences and Behavior in Recommender systems

Raghav Pavan Karumur (), Tien T. Nguyen and Joseph A. Konstan
Additional contact information
Raghav Pavan Karumur: University of Minnesota
Tien T. Nguyen: University of Minnesota
Joseph A. Konstan: University of Minnesota

Information Systems Frontiers, 2018, vol. 20, issue 6, No 7, 1265 pages

Abstract: Abstract This paper reports on a study of 1840 users of the MovieLens recommender system with identified Big-5 personality types. Based on prior literature that suggests that personality type is a stable predictor of user preferences and behavior, we examine factors of user retention and engagement, content preferences, and rating patterns to identify recommender-system related behaviors and preferences that correlate with user personality. We find that personality traits correlate significantly with behaviors and preferences such as newcomer retention, intensity of engagement, activity types, item categories, consumption versus contribution, and rating patterns.

Keywords: Personality; Recommender systems; Big-five personality traits; User preferences; Newcomer retention (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-017-9800-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-017-9800-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-017-9800-0

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().